Model comparison
GLM-4.6V vs Muse Spark 1.3
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 41.3 on the Noometry Index. GLM-4.6V costs 4.4× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 0 categories and Muse Spark 1.3 in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Muse Spark 1.3 leads 54.0 to 27.6.
- GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $1.25 / $4.25 for Muse Spark 1.3.
- Muse Spark 1.3 accepts more context: 1.05M tokens versus 128K.
- GLM-4.6V has downloadable open weights; the other is API-only.
Side by side
| GLM-4.6V | Muse Spark 1.3 | |
|---|---|---|
| Provider | Z.ai (Zhipu) | Meta |
| Noometry Index | 41.3 | 54.8 |
| Released | 2025-12-08 | 2026-09-02 |
| Weights | Open | Proprietary |
| Context window | 128K | 1.05M |
| Max output | 33K | 131K |
| Input $ / M tokens | $0.30 | $1.25 |
| Output $ / M tokens | $0.90 | $4.25 |
| Results tracked | 12 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark 1.3 leads
GLM-4.6V: 40.9 (#128), Muse Spark 1.3: 56.6 (#21)
| Benchmark | GLM-4.6V | Muse Spark 1.3 |
|---|---|---|
| LMArena Coding | 1390 | 1514 |
| CursorBench | — | 41.6% |
| LMArena WebDev | — | 1657 |
| SciCode | — | 59.7% |
Agentic & Tool Use Not comparable
GLM-4.6V: —, Muse Spark 1.3: 38.6 (#30)
| Benchmark | GLM-4.6V | Muse Spark 1.3 |
|---|---|---|
| APEX-Agents | — | 57.8% |
| GDP.pdf | — | 27.6% |
Reasoning Muse Spark 1.3 leads
GLM-4.6V: 27.6 (#115), Muse Spark 1.3: 54.0 (#27)
| Benchmark | GLM-4.6V | Muse Spark 1.3 |
|---|---|---|
| LMArena Hard Prompts | 1368 | 1503 |
| NYT Connections (extended) | — | 85.1% |
| CritPt | — | 26% |
| Chess Puzzles | — | 38% |
| Mystery Game Puzzles | — | 25% |
| DTBench | — | 96.5% |
| LMCA | — | 53.9% |
| Bench to the Future 3 | — | 0.14 |
| Epoch Capabilities Index | — | 156.75 |
Math Not comparable
GLM-4.6V: —, Muse Spark 1.3: 73.1 (#21)
| Benchmark | GLM-4.6V | Muse Spark 1.3 |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 74.4% |
| FrontierMath Tier 4 | — | 46.3% |
| OTIS Mock AIME 2024-2025 | — | 99.2% |
| ProofBench | — | 58% |
| LMArena Math | — | 1494 |
Knowledge Muse Spark 1.3 leads
GLM-4.6V: 38.0 (#149), Muse Spark 1.3: 42.6 (#95)
| Benchmark | GLM-4.6V | Muse Spark 1.3 |
|---|---|---|
| LMArena Expert | 1371 | 1516 |
Multimodal Muse Spark 1.3 leads
GLM-4.6V: 34.8 (#90), Muse Spark 1.3: 43.7 (#22)
| Benchmark | GLM-4.6V | Muse Spark 1.3 |
|---|---|---|
| LMArena Vision | 1164 | 1309 |
| LMArena Document | — | 1471 |
Multilingual Muse Spark 1.3 leads
GLM-4.6V: 48.6 (#141), Muse Spark 1.3: 57.4 (#8)
| Benchmark | GLM-4.6V | Muse Spark 1.3 |
|---|---|---|
| LMArena Non-English | 1359 | 1481 |
| LMArena Chinese | 1425 | 1529 |
| LMArena Russian | 1340 | 1490 |
| LMArena French | — | 1524 |
| LMArena German | — | 1515 |
| LMArena Japanese | — | 1474 |
| LMArena Korean | — | 1501 |
| LMArena Spanish | — | 1490 |
Instruction Following Muse Spark 1.3 leads
GLM-4.6V: 71.4 (#151), Muse Spark 1.3: 77.5 (#22)
| Benchmark | GLM-4.6V | Muse Spark 1.3 |
|---|---|---|
| LMArena Instruction Following | 1352 | 1477 |
Long Context Muse Spark 1.3 leads
GLM-4.6V: 41.3 (#143), Muse Spark 1.3: 45.6 (#32)
| Benchmark | GLM-4.6V | Muse Spark 1.3 |
|---|---|---|
| LMArena Longer Query | 1358 | 1488 |
Writing & Preference Muse Spark 1.3 leads
GLM-4.6V: 56.6 (#137), Muse Spark 1.3: 73.6 (#9)
| Benchmark | GLM-4.6V | Muse Spark 1.3 |
|---|---|---|
| LMArena Text | 1377 | 1490 |
| LMArena Creative Writing | 1347 | 1455 |
| LMArena Multi-Turn | 1360 | 1482 |
| EQ-Bench Creative Writing | — | 1906 |
Frequently asked questions
Is GLM-4.6V better than Muse Spark 1.3?
Muse Spark 1.3 is the stronger model overall, scoring 54.8 to 41.3 on the Noometry Index. GLM-4.6V costs 4.4× less per token, which makes it the better buy when Muse Spark 1.3's lead doesn't matter for your workload.
Which is cheaper, GLM-4.6V or Muse Spark 1.3?
GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; Muse Spark 1.3 lists at $1.25 and $4.25.
Is GLM-4.6V or Muse Spark 1.3 better for coding?
Muse Spark 1.3 scores higher on coding benchmarks: 56.6 versus 40.9 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.3 does, with 1.05M tokens against 128K.
How many benchmarks do GLM-4.6V and Muse Spark 1.3 share?
12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and Muse Spark 1.3 has 37.